### Always run first "preference for cuts_edu"

### I6_P12_1_edu

I6_P12_1_edu_t <- as.data.table(svyby(~I6_P12_1, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_1_edu_t[, Status := "Treatment"]

I6_P12_1_edu_c <- as.data.table(svyby(~I6_P12_1, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_1_edu_c[, Status := "Control"]

I6_P12_1_edu <- rbind(I6_P12_1_edu_t, I6_P12_1_edu_c)

I6_P12_1_edu <- I6_P12_1_edu[, .(M3_rekod, I6_P12_1 = I6_P12_1*100, se = se*100, Status)]

I6_P12_1_edu_p  <- ggplot(I6_P12_1_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_1, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_1 - se, 
                    ymax = I6_P12_1 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))

ggsave("I6_P12_1_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_2_edu

I6_P12_2_edu_t <- as.data.table(svyby(~I6_P12_2, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_2_edu_t[, Status := "Treatment"]

I6_P12_2_edu_c <- as.data.table(svyby(~I6_P12_2, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_2_edu_c[, Status := "Control"]

I6_P12_2_edu <- rbind(I6_P12_2_edu_t, I6_P12_2_edu_c)

I6_P12_2_edu <- I6_P12_2_edu[, .(M3_rekod, I6_P12_2 = I6_P12_2*100, se = se*100, Status)]

I6_P12_2_edu_p <- ggplot(I6_P12_2_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_2, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_2 - se, 
                    ymax = I6_P12_2 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_2_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_3_edu

I6_P12_3_edu_t <- as.data.table(svyby(~I6_P12_3, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_3_edu_t[, Status := "Treatment"]

I6_P12_3_edu_c <- as.data.table(svyby(~I6_P12_3, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_3_edu_c[, Status := "Control"]

I6_P12_3_edu <- rbind(I6_P12_3_edu_t, I6_P12_3_edu_c)

I6_P12_3_edu <- I6_P12_3_edu[, .(M3_rekod, I6_P12_3 = I6_P12_3*100, se = se*100, Status)]

I6_P12_3_edu_p <- ggplot(I6_P12_3_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_3, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_3 - se, 
                    ymax = I6_P12_3 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_3_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_4_edu

I6_P12_4_edu_t <- as.data.table(svyby(~I6_P12_4, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_4_edu_t[, Status := "Treatment"]

I6_P12_4_edu_c <- as.data.table(svyby(~I6_P12_4, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_4_edu_c[, Status := "Control"]

I6_P12_4_edu <- rbind(I6_P12_4_edu_t, I6_P12_4_edu_c)

I6_P12_4_edu <- I6_P12_4_edu[, .(M3_rekod, I6_P12_4 = I6_P12_4*100, se = se*100, Status)]

I6_P12_4_edu_p <- ggplot(I6_P12_4_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_4, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_4 - se, 
                    ymax = I6_P12_4 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_4_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_5_edu

I6_P12_5_edu_t <- as.data.table(svyby(~I6_P12_5, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_5_edu_t[, Status := "Treatment"]

I6_P12_5_edu_c <- as.data.table(svyby(~I6_P12_5, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_5_edu_c[, Status := "Control"]

I6_P12_5_edu <- rbind(I6_P12_5_edu_t, I6_P12_5_edu_c)

I6_P12_5_edu <- I6_P12_5_edu[, .(M3_rekod, I6_P12_5 = I6_P12_5*100, se = se*100, Status)]

I6_P12_5_edu_p <- ggplot(I6_P12_5_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_5, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_5 - se, 
                    ymax = I6_P12_5 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_5_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_6_edu

I6_P12_6_edu_t <- as.data.table(svyby(~I6_P12_6, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_6_edu_t[, Status := "Treatment"]

I6_P12_6_edu_c <- as.data.table(svyby(~I6_P12_6, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_6_edu_c[, Status := "Control"]

I6_P12_6_edu <- rbind(I6_P12_6_edu_t, I6_P12_6_edu_c)

I6_P12_6_edu <- I6_P12_6_edu[, .(M3_rekod, I6_P12_6 = I6_P12_6*100, se = se*100, Status)]

I6_P12_6_edu_p <- ggplot(I6_P12_6_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_6, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_6 - se, 
                    ymax = I6_P12_6 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_6_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_7_edu

I6_P12_7_edu_t <- as.data.table(svyby(~I6_P12_7, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_7_edu_t[, Status := "Treatment"]

I6_P12_7_edu_c <- as.data.table(svyby(~I6_P12_7, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_7_edu_c[, Status := "Control"]

I6_P12_7_edu <- rbind(I6_P12_7_edu_t, I6_P12_7_edu_c)

I6_P12_7_edu <- I6_P12_7_edu[, .(M3_rekod, I6_P12_7 = I6_P12_7*100, se = se*100, Status)]

I6_P12_7_edu_p <- ggplot(I6_P12_7_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_7, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_7 - se, 
                    ymax = I6_P12_7 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_7_edu_p.jpeg", device='jpeg', dpi=900)

### I6_P12_8_edu

I6_P12_8_edu_t <- as.data.table(svyby(~I6_P12_8, ~M3_rekod, srs_treatment, svymean, na = TRUE))

I6_P12_8_edu_t[, Status := "Treatment"]

I6_P12_8_edu_c <- as.data.table(svyby(~I6_P12_8, ~M3_rekod, srs_control, svymean, na = TRUE))

I6_P12_8_edu_c[, Status := "Control"]

I6_P12_8_edu <- rbind(I6_P12_8_edu_t, I6_P12_8_edu_c)

I6_P12_8_edu <- I6_P12_8_edu[, .(M3_rekod, I6_P12_8 = I6_P12_8*100, se = se*100, Status)]

I6_P12_8_edu_p <- ggplot(I6_P12_8_edu, aes(x = factor(M3_rekod, levels = c("Primary", "Secondary", "Higher")), y=I6_P12_8, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_8 - se, 
                    ymax = I6_P12_8 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "Level of education", y = "Share of respondets (%)", color='Treatment status') + 
  scale_x_discrete(labels = c('Primary','Secondary','Higher'))


ggsave("I6_P12_8_edu_p.jpeg", device='jpeg', dpi=900)


